Log in to save to my catalogue

Increment Entropy as a Measure of Complexity for Time Series

Increment Entropy as a Measure of Complexity for Time Series

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a198e4bb54f4b838925990e19024c60

Increment Entropy as a Measure of Complexity for Time Series

About this item

Full title

Increment Entropy as a Measure of Complexity for Time Series

Publisher

Basel: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2016-01, Vol.18 (1), p.22-22

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Entropy has been a common index to quantify the complexity of time series in a variety of fields. Here, we introduce an increment entropy to measure the complexity of time series in which each increment is mapped onto a word of two letters, one corresponding to the sign and the other corresponding to the magnitude. Increment entropy (IncrEn) is def...

Alternative Titles

Full title

Increment Entropy as a Measure of Complexity for Time Series

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a198e4bb54f4b838925990e19024c60

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a198e4bb54f4b838925990e19024c60

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e18010022

How to access this item